Abstract

This paper describes an object detection approach based on the use of Evolutive Algorithms based on Probability Models (EAPM), a new paradigm in evolutionary computation consisting
on iteratively building a probability model to describe the space of promising solutions to a given problem. After the parametrization of the detection problem by means of the weighted dissociated dipoles, a new EAPM based on Naïve Bayes
Models estimation is used to find good features.